Título: Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models
Autor: Danilo P. Mandic, Vanessa Goh
Sinopse: This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and noncircular). It brings together adaptive filtering algorithms for feedforward (transversal) and feedback architectures and the recent developments in the statistics of complex variable, under the powerful frameworks of CR (Wirtinger) calculus and augmented complex statistics. This offers a number of theoretical performance gains, which is illustrated on both stochastic gradient algorithms, such as the augmented complex least mean square (ACLMS), and those based on Kalman filters. This work is supported by a number of simulations using synthetic and real world data, including the noncircular and intermittent radar and wind signals.
Contexto da obra
Quando a classificação é mais ampla, o contexto do livro costuma depender ainda mais de autoria, tema e edição. “Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models”, de Danilo P. Mandic, Vanessa Goh, publicado pela editora John Wiley & Sons, em 2009 e com 324 páginas, integra a categoria Livros Variados. Por isso, autoria, edição e tema acabam tendo ainda mais peso na forma de apresentar o livro.
Editora: John Wiley & Sons
Páginas: 324
Ano: 2009
Edição: 1
Linguagem: pt_BR
ISBN: 9780470066355
ISBN13: 9780470066355
